Education · SOC 25-1192
Family and consumer sciences faculty combine hands-on lab instruction and applied practice that AI cannot fully replicate remotely.
Parts of the job are exposed, but judgment and context still matter.
Timeline: AI will handle content delivery for foundational concepts within 3 years, but hands-on applied instruction and community partnership work keeps faculty central through 2030.
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Industry pages show which sectors this occupation feeds and the AI companies driving the shift.
AI job-risk card
Family and Consumer Sciences Teachers, Postsecondary is watch on AIFear. Parts of the job are exposed, but judgment and context still matter.
AIFear.com
Our AI Fear Score for Family and Consumer Sciences Teachers, Postsecondary is 37/100 (Watch). Parts of the job are exposed, but judgment and context still matter.
37 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Drafting syllabi, handouts, and course content, Grading written assignments and lab reports, Compiling resource lists and reading materials, Generating nutrition and finance lecture content. Harder to automate: Hands-on lab instruction in food science and textiles, Mentoring practicum and field experience students, Community program development and outreach, Accreditation and departmental governance.
Lean into Applied nutrition and dietetics knowledge, Consumer financial education, Lab-based pedagogy, Family systems and child development. Consider roles such as Extension education specialist or Community nutrition program director or Family science program coordinator.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.